Hoang Ta

Lecturer, Hanoi University of Science and Technology. At a Vietnamese institution since 2025.
Also published as: Tạ Duy Hoàng, Duy Hoang Ta, Hoang Duy Ta, Duy-Hoang Ta

3 accepted papers at the ten venues since 2025: 1 in the official lists and 2 known only from personal pages, shown as +2 and tagged "unofficial" below. 0 accepted before 2026, 3 from 2026. ICLR: 0 submitted, 0 accepted, 0 rejected.

Co-authors

Tuan Dam (HUST): 3 papers

People on this site who share papers with this professor, accepted, rejected or workshop, with their institution today and the number of shared papers; see Researcher collaboration for the whole graph.

Google Scholar

A snapshot of the Google Scholar profile taken on 2026-10-02; it is not updated. Google Scholar counts every publication, not only the ten conferences.

	All	Since 2021
Citations	261	219
h-index	6	6
i10-index	5	5

Citations per year, as shown on Google Scholar on the day of the snapshot.

Submitted and accepted per year

All years: 3 accepted, 0 rejected and on record, and about 0 rejected elsewhere (estimate), so about 3 submissions.

Accepted papers and rejections on record (ICLR, public NeurIPS rejections, Findings) are counted; the light part estimates the rejections the other venues do not publish. No ICLR submissions, so no estimate is added.

Accepted papers per year by where the authors are

Each column is one year's accepted papers; grey papers are known only from announcements or personal pages.

Co-authors and topics

3.7 co-authors per paper on average, accepted or not (fewest on an accepted paper 3, most on any submission 4), 8 different co-authors over 3 papers.
0.3 foreign co-authors per paper on average: co-authors whose affiliation on the paper is outside Vietnam.
2 different co-authors are at another university or institution than HUST (1 abroad, 1 in Vietnam).
1 topics in 1 areas, from the conference's own label on 1 of 3 papers: Theory (1).

Topic area	Topic	Papers
Theory	Reinforcement Learning and Planning	1

Accepted papers (3)

NeurIPS 2026unofficial Graph-Based Stochastic-Power-UCT: Monte-Carlo Graph Search with Power Mean Estimation
Unofficial: name, and listed on their own page; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
Tung Tran, Viet Bao, Hoang Ta, Tuan Dam
NeurIPS 2026spotlightunofficial Nearly Optimal Fixed-Confidence Best-Arm Identification with 1-Bit Feedback
Unofficial: name, and listed on their own page; in the NeurIPS 2026 list, not yet confirmable on OpenReview.
Khang Luong, Thai Son Dinh, Hoang Ta, Hung TRAN, Tuan Dam
ICML 2026 Variance Driven Exploration: A Provable and Efficient Methodology for Pure Exploration in Highly Stochastic Environments
Khang Luong, Nam Nguyen, Hoang Ta, Hung The Tran, Tuan Quang Dam

Links